机译:加速MRI密集的复发性神经网络:优化算法的历史认识展开
Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA|Univ Minnesota Ctr Magnet Resonance Res Minneapolis MN 55455 USA;
Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA|Univ Minnesota Ctr Magnet Resonance Res Minneapolis MN 55455 USA;
Univ Minnesota Ctr Magnet Resonance Res Minneapolis MN 55455 USA;
Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA;
Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA|Univ Minnesota Ctr Magnet Resonance Res Minneapolis MN 55455 USA;
Magnetic resonance imaging; Image reconstruction; Inverse problems; Signal processing algorithms; Acceleration; Optimization; Neural networks; Inverse problems; unrolled optimization algorithms; physics-driven deep learning; neural networks; MRI reconstruction; recurrent neural networks;
机译:通过深度递归神经网络优化算法的矿工阈值偏移估计
机译:使用遗传算法优化的神经网络预测复发性口疮性溃疡
机译:自然启发优化算法,使用基于CFD的现象学模型生成的数据对EBW过程建模的前馈和递归神经网络
机译:在规则自洽框架中使用递归神经网络的扫描特定加速Mri重建
机译:递归神经网络的高级架构和训练算法。
机译:使用遗传算法优化的神经网络预测复发性口疮性溃疡
机译:EMI-RNN - 增强多层多层独立地复发性神经网络,用于在5G超密集网络中切换优化